tx_coastal_bend_phase1_patchy_srv_p-meta_0070784 eng; USA utf8 dataset Metadata Specialist NOAA Coastal Services Center 843-740-1210 843-740-1224 2234 S Hobson Ave. Charleston SC 29405 USA clearinghouse@noaa.gov 8:00 am to 5:00 pm EST pointOfContact 2025-03-16 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) North American Datum 1983 NAD83 2007-01-19 revision https://epsg.org/crs_4269/NAD83.html NAD83 Link to Geographic Markup Language (GML) description of reference system. information resourceProvider European Petroleum Survey Group https://epsg.org/home.html European Petroleum Survey Group Geodetic Parameter Registry Registry that accesses the EPSG Geodetic Parameter Dataset, which is a structured dataset of Coordinate Reference Systems and Coordinate Transformations. search publisher urn:ogc:def:crs:EPSG::4269 Coastal Bend Texas Benthic Habitat Mapping Patchy Shapefile Map (NODC Accession 0070784) 2007-08-23 publication Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Coastal Services Center (CSC) originator NOAA's Ocean Service, Coastal Services Center (CSC) Charleston SC publisher mapDigital In 2006 and 2007 the NOAA Coastal Services Center purchased services to process existing digital multi-spectral imagery (ADS-40) and create digital benthic habitat data from this imagery for selected Texas coastal bend bays. The Center worked cooperatively with the Texas Parks and Wildlife Department (TPWD) and the Texas A and M University Center for Coastal Studies to develop benthic habitat data, primarily Submerged Aquatic Vegetation (SAV) for several coastal bays. This data will support the state's recently adopted Seagrass Monitoring Program which calls for regional mapping of SAV for status and trends assessment. The Center, Texas A and M, and TPWD have coordinated on the requirements of this project. These data have been created as a result of the need for having geospatial data immediately available and easily accessible in order to enhance the capability of the NOAA Coastal Services Center (CSC) NOAA Coastal Services Center completed Harold Rempel Fugro EarthData, Inc. Director of Program Management 301-948-8550 301-963-2064 7320 Executive Way Frederick MD 21704 USA hrempel@earthdata.com 9:00am - 5:00pm pointOfContact asNeeded CoRIS_Metadata theme NCEI Geoportal Filter Environmental Monitoring theme NOS Data Explorer Topic Category EARTH SCIENCE > Biosphere > Aquatic Habitat > Coastal Habitat theme CoRIS Theme Thesaurus Geographic Information > Habitats theme CoRIS Discovery Thesaurus Digital map Benthic habitat Submerged aquatic vegetation Seagrass Texas Seagrass Monitoring Program Habitat classification theme None Texas TX US place None OCEAN BASIN > Atlantic Ocean > Gulf of America > Texas COUNTRY/TERRITORY > United States of America > Texas OCEAN BASIN > Atlantic Ocean > Gulf of Mexico place CoRIS Place Thesaurus Gulf of Mexico Gulf of America place CoRIS Region Users must assume responsibility to determine the usability of these data. otherRestrictions Use Constraints: None otherRestrictions Access Constraints: None eng; USA environment oceans imageryBaseMapsEarthCover Native Dataset Environment: Windows NT/2000 Systems, Definiens Professional,statistical software for the CART analysis, ArcGIS, ErdasImagine -097.743558 -096.710731 26.939030 28.256790 2007-08-23 A patchy shapefile map with percent seagrass coverage was generated over eight Texas Coast study areas to further classify patchy seagrass areas from the habitat map. The geographic extent of this data set includes Corpus Christi Bay - ~356 mi2 , Redfish Bay - ~62 mi2, Aransas Bay - ~285 mi2, and Copano Bay - ~158 mi2, Lower Laguna Madre - ~800 mi2, Upper Laguna Madre -~313 mi2, Baffin Bay - ~232 mi2, San Antonio Bay - ~370mi2. Entity and Attribute Overview: ESRI shape file Entity and Attribute Detail Citation: Not applicable Clearinghouse Manager NOAA Coastal Services Center 843-740-1210 843-740-1224 2234 South Hobson Avenue Charleston SC 29405-2413 USA clearinghouse@noaa.gov Monday-Friday, 8-5 EST distributor dataset Horizontal Positional Accuracy Report Accuracy assessment determined by evaluating the horizontal accuracy obtained during the aerotriangulation process for each lift for the reprocessed imagery and by field verification for the completed map product. Vertical Positional Accuracy Report None Compliance with the accuracy standard for the reprocessed imagery was ensured by the placement of photo identifiable ground control points and the collection of airborne GPS data. Compliance with the accuracy standard for the final map product was ensured by fieldchecks and manual editing. For the reprocessed imagery, compliance with the accuracy standard was ensured by the placement of photoidentifiable ground control points. A total of 18 photoidentifiable ground survey points was used for the calculations. An RMS value was calculated based on the imagery reprocessed for this project by comparing the aerotriangulated X and Y coordinates. This value represents an estimate of the accuracy of the horizontal coordinate measurements in the tile expressed in meters.For the final map product Initial Map accuracy assessment was used as a tool to prioritize areas for further field examination and after field investigation to prioritize those areas where additional modeling or interpretation was needed. Error matrices showing both deterministic and fuzzy accuracies were compiled for the initial map. Based on the results compiled from the assessment, the team visit any classes exhibiting inaccuracy and addressed the classes through modeling, additional analysis or manual editing. The original 1m DOQQs for the project area were resampled to 2m and mosaicked. For habitat classification, the mosaicked imagery was divided into six processing one set of six mosaics for true color and one set of six mosaics for color-IR. Image segmentation was performed using on the blue, green, red, and near-infrared bands for each of the six processing areas. The classification of the habitat segments (as ESRI polygon shapefiles) was performed using CART analysis. The habitat maps for each of the six areas was refined with the aid of field data collected during May, June, and July 2006 and January 2007. The six processing area shapefiles were edgematched and combined into a single shapefile which was clipped to the final project area boundary and then clipped into six separate shapefiles representing the six bay systems in the project area. Adjacent bay systems do not overlap, resulting in no overlapping habitat polygons across the entire project area. Each polygon, within and across all six bay systems, has a unique polygon identification number. Each shapefile was checked for proper topology and to insure that each polygon has a correct habitat label, habitat code, modifier label if present,unique identification number, and an area calculation.Polygons below the 100m2 minimum mapping unit (MMU)were eliminated, though some polygons less than 100m2 were retained if their area changed to below the MMU due to the polygon boundary smoothing process. The habitat data also went through a NOAA independent validation review. Polygons in the habitat map labeled as Patchy SRV (seagrass) were used to mask the 2m image mosaics for further classification of these areas. Pixels in the imagery falling within the Patchy SRV polygons were classified into a "percent seagrass" cover category. For each Patchy SRV polygon from the habitat map, the average percent seagrass coverage was calculated Based on the coverage values of each pixel within the polygon.Accuracy assessment was performed on seven classes with Patchy SRV and Continuous SRV being combined into a single accuracy class. For field data collection,non-random sites in the form of polygons were chosen by analysts with an attempt to sample all available image signatures. These sites were visited in the field and data on each site was collected directly into digital format (ESRI shapefile) using a laptop or onto a paper form that was later entered into digital format. Sites were navigated to primarily using a Garmin GPS 76 unit connected to a Panasonic Toughbook laptop displaying the project imagery and polygons in ArcMap v9.1 or using the GPS unit alone. Habitat classification was estimated as accurately as possible using different methods or combination of methods which included above water observation, snorkeling, wading, and underwater video.This data was entered into an ESRI shapefile via a digital field form in ArcMap specifically developed for this type of field data collection. After collection, sites were classified as either "sand" or "mud" bottom type using Texas Bureau of Economic Geology sediment maps. More sample polygon sites were collected in-office based on the in-field collected sites in order to meet the 50 sites per class per bottom type accuracy assessment requirement. Once all the sites were chosen, they were again divided into "sand" and "mud" bottom types. For each class, per bottom type,a random selector macro in ArcMap was used to randomly select 50 sites for accuracy assessment. The entire pool of accuracy sites was kept separate from the remaining sites and only used for accuracy assessment during the project. Anonymity of the accuracy sites was maintained throughout the project because it was unnecessary to ever visually review these sites in order to perform the accuracy analysis. More accuracy assessment sites were collected in a later field collection trip to add to the analysis. These sites were chosen by randomly selecting polygons within specific regions that were pre-determined to be visited.Information for these sites was collected using the same methods for the other sites. Accuracy information was compiled using ArcMap. Accuracy polygons were transformed into polygon centroid points forced to be located within the polygon. These points were used to select the corresponding polygons in the habitat map. The selected polygons' attributes were joined to the accuracy polygons so that each accuracy polygon had both the accuracy habitat label and its map label. An accuracy assessment error matrix was generated using this information by importing it to Microsoft Excel and building the matrix. Both deterministic and fuzzy accuracy assessment were performed. The accuracy analysis and error matrices are presented and discussed in the project final report. 2007-08-09T00:00:00 Harold Rempel Fugro EarthData, Inc. Director of Program Management 301-948-8550 301-963-2064 7320 Executive Way Frederick MD 21704 USA hrempel@earthdata.com 9:00am - 5:00pm processor Source Contribution: TerraSurv, Inc. of Pittsburgh, PA was contracted by EarthData International of Frederick, MD to perform a geodetic control survey in support of mapping an area along the southeasterly coast of Texas between Port Lavaca and Brownsville. Thirty-eight photo identifiable locations were surveyed to provide ground control and quality assurance checks for the mapping. Twenty of the stations were used for mapping control and eighteen of the stations were used for quality checks. The horizontal datum was the North American Datum of 1983, CORS adjustment (NAD 1983 CORS). The vertical datum was the North American Vertical Datum of 1988 (NAVD 1988).Source Type: paper 1000 REPORT OF GPS SURVEY TEXAS COASTAL AREA MAPPING 2005-11-09 publication Terrasurv Inc. originator modelDigital 2005-10-17 2005-10-19 Source Contribution: The digital orthophotography was developed from imagery acquired as part of the 2004 overflight of the State of Texas developed for the USDA National Agricultural Imagery Program (NAIP). In order to achieve a horizontal accuracy of 5 meters, CE90 it is necessary to reprocess the imagery incorporating new GPS field control. It should be noted that the imagery was not tide coordinated so tidal variation may exist between sorties. The imagery was acquired between November 3, 2004 and November 7,2004.Source Type: digital 900 2004 ADS40 NAIP Digital Imagery 2004-11-07 publication Northwest Geomatics originator imageDigital 2004-11-03 2004-11-07 annually This metadata was automatically generated from the FGDC Content Standard for Digital Geospatial Metadata standard (version FGDC-STD-001-1998) using the 2016-01-11 version of the FGDC RSE to ISO 19115-2 transform. Translated from FGDC 2025-03-24T19:22:57.79Z Metadata Specialist NOAA Coastal Services Center 843-740-1210 843-740-1224 2234 S Hobson Ave. Charleston SC 29405 USA clearinghouse@noaa.gov 8:00 am to 5:00 pm EST pointOfContact